Legal claims defining the scope of protection, as filed with the USPTO.
2. The method of claim 1, wherein the neural network-based utterance classifier is trained on negative training examples of spoken utterances not directed toward automated assistants.
3. The method of claim 1, wherein the respective textual representation comprises a fixed-length vector.
4. The method of claim 3, wherein the fixed-length vector comprises a 100-unit vector.
5. The method of claim 1, wherein the automated assistant generates the response to the spoken utterance by processing a transcription of the spoken utterance.
6. The method of claim 1, wherein the spoken utterance is captured by a microphone of the client device.
7. The method of claim 1, wherein the spoken utterance comprises an audio waveform.
8. The method of claim 1, wherein the data processing hardware executes on a server in communication with the client device via a network.
10. The system of claim 9, wherein the neural network-based utterance classifier is trained on negative training examples of spoken utterances not directed toward automated assistants.
11. The system of claim 9, wherein the respective textual representation comprises a fixed-length vector.
12. The system of claim 11, wherein the fixed-length vector comprises a 100-unit vector.
13. The system of claim 9, wherein the automated assistant generates the response to the spoken utterance by processing a transcription of the spoken utterance.
14. The system of claim 9, wherein the spoken utterance is captured by a microphone of the client device.
15. The system of claim 9, wherein the spoken utterance comprises an audio waveform.
16. The system of claim 9, wherein the data processing hardware executes on a server in communication with the client device via a network.
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December 19, 2023
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